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Overnight Machine Learning Quant Jobs in Chicago, IL

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

Architect and co-design ML models with traders, quant researchers, and software engineers, treating ... Understanding of machine learning fundamentals - neural network architectures, inference ...

IMC

Hardware Machine Learning Engineer

Chicago, IL

$127K - $167K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... Architect and co-design ML models with traders, quant researchers, and software engineers, treating ...

3Red Partners

Quant

Chicago, IL · On-site

$150K - $250K/yr

The Quant will have the opportunity to work in one of our offices focusing on expanding and ... Experience with Python, C++, and machine learning tools * Ability to understand the optimization ...

3Red Partners

Quant

Chicago, IL · On-site

$150K - $250K/yr

The Quant will have the opportunity to work in one of our offices focusing on expanding and ... Experience with Python, C++, and machine learning tools * Ability to understand the optimization ...

Akuna Capital

Quantitative Researcher

Chicago, IL · On-site

$145K/yr

Akuna's Trading and Research teams are seeking Quant Researchers to join a multidisciplinary group ... Design and optimize machine learning workflows to support scalable, efficient, and reproducible ...

Akuna Capital

Quantitative Researcher

Chicago, IL · On-site

$145K/yr

Akuna's Trading and Research teams are seeking Quant Researchers to join a multidisciplinary group ... Design and optimize machine learning workflows to support scalable, efficient, and reproducible ...

Akuna Capital

Junior Quantitative Researcher

Chicago, IL · On-site

$145K/yr

Develop trading strategies using statistical and machine learning algorithms. * Design and implement optimization algorithms for portfolio construction. * Develop quantitative models describing ...

Akuna Capital

Junior Quantitative Researcher

Chicago, IL · On-site

$145K/yr

Develop trading strategies using statistical and machine learning algorithms. * Design and implement optimization algorithms for portfolio construction. * Develop quantitative models describing ...

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Showing results 21-40

All JobsMachine Learning Quant JobsOvernight Machine Learning Quant JobsOvernight Machine Learning Quant Jobs in Chicago, IL

Overnight Machine Learning Quant information

See Chicago, IL salary details

$54.1K

$122.8K

$202.4K

How much do overnight machine learning quant jobs pay per year?

As of Aug 20, 2026, the average yearly pay for overnight machine learning quant in Chicago, IL is $122,758.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $157,100.00 per year, depending on experience, location, and employer.

What is the difference between Overnight Machine Learning Quant vs Quantitative Researcher?

AspectOvernight Machine Learning QuantQuantitative Researcher
CredentialsAdvanced degrees in CS, Math, or Stats; programming skillsSimilar; advanced degrees often required
Work EnvironmentFinancial firms, hedge funds, trading desks; fast-paced, data-drivenFinancial institutions, research labs; analytical, research-focused
Industry UsageHigh-frequency trading, algorithmic strategiesMarket analysis, model development
Work HoursOvernight shifts aligned with trading hoursStandard business hours, flexible in some cases

While both roles involve quantitative analysis and programming, Overnight Machine Learning Quants focus on developing models for overnight trading strategies, often working overnight shifts. Quantitative Researchers typically conduct broader market research and model development during regular hours. The roles overlap in skills but differ mainly in work hours and specific application areas.

What are the most commonly searched types of Machine Learning Quant jobs in Chicago, IL?

The most popular types of Machine Learning Quant jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Overnight Machine Learning Quant jobs?

Cities near Chicago, IL with the most Overnight Machine Learning Quant job openings:

Overnight Machine Learning Quant jobs near you
Infographic showing various Overnight Machine Learning Quant job openings in Chicago, IL as of August 2026, with employment types broken down into 10% Internship, 60% Full Time, 10% Part Time, and 20% Contract. Highlights an 70% In-person, and 30% Remote job distribution, with an average salary of $122,758 per year, or $59 per hour.

Hardware Machine Learning Engineer

IMC

Chicago, IL • On-site

$200K - $225K/yr

Full-time

PTO

Re-posted 7 days ago

Job description

We are deploying machine learning directly onto custom hardware - and we want you to help drive it from the ground up. This is an initiative where you'll have the rare opportunity to architect solutions from scratch, influence technical research direction, and see your work drive real impact in one of the most demanding computing environments in the world.
We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can fix it - there's no vendor to wait on and no abstraction layer you're not allowed to touch. If you've ever wanted to push the boundaries of what's computationally possible, this role is for you. We're looking for researchers and experienced engineers from any background. Trading experience is a bonus, not a prerequisite.
Your Core Responsibilities
  • Architect and co-design ML models with traders, quant researchers, and software engineers, treating hardware constraints (latency budgets, resource limits, numerical precision) as first-class design inputs
  • Shape our custom hardware roadmap by translating ML model requirements into concrete architectural decisions
  • Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production
  • Track and evaluate emerging research in neural architecture search, machine learning systems and quantization methods, and determine what translates to measurable improvements in our systems

Your Skills and Experience
  • Solid understanding of hardware constraints and design trade-offs (e.g., pipelining, resource utilization, fixed-point arithmetic) that shape how ML models can be efficiently mapped onto FPGAs or custom ASICs
  • Experience with hardware fundamentals, whether through VHDL/SystemVerilog development, HLS tools, or ML-to-hardware frameworks like hls4ml, FINN, or Vitis AI
  • Understanding of machine learning fundamentals - neural network architectures, inference optimization, quantization techniques, ML frameworks such as PyTorch/TensorFlow
  • Proficiency in Python, C++, or similar languages for tooling, testing, and simulation
  • Strong communication skills and ability to work collaboratively across disciplines with both technical and non-technical teams

Nice to Have
  • Exposure to ML compiler infrastructure such as MLIR, TVM, XLA, or similar tools for lowering and optimizing models for hardware targets
  • Background in latency-sensitive or resource-constrained systems including high-frequency trading, particle physics data acquisition, real-time signal processing, or similar domains
  • Familiarity with functional verification methodologies (for example SystemVerilog, UVM, Cocotb)
  • Advanced degree (MS or PhD) in EE, CS, Physics, or related field, or equivalent depth through industry or research experience

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Salary Range
$200,000-$225,000 USD
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

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